Artificial Intelligence Roadmap
|
|-- Core Foundations
|   |-- Mathematics
|   |   |-- Linear Algebra
|   |   |-- Calculus
|   |   |-- Probability
|   |   |-- Statistics
|   |
|   |-- Programming
|   |   |-- Python
|   |   |   |-- NumPy
|   |   |   |-- Pandas
|   |   |   |-- Matplotlib
|   |   |-- R
|   |   |-- SQL
|
|-- Classical AI
|   |-- Search Algorithms
|   |   |-- BFS
|   |   |-- DFS
|   |   |-- A*
|   |
|   |-- Optimization
|   |   |-- Gradient Descent
|   |   |-- Convex Optimization
|
|-- Machine Learning
|   |-- Supervised Learning
|   |   |-- Linear Regression
|   |   |-- Logistic Regression
|   |   |-- Decision Trees
|   |   |-- SVM
|   |
|   |-- Unsupervised Learning
|   |   |-- K Means
|   |   |-- Hierarchical Clustering
|   |   |-- PCA
|
|-- Neural Networks
|   |-- Feedforward Networks
|   |-- Backpropagation
|   |-- Activation Functions
|   |-- Loss Functions
|
|-- Deep Learning
|   |-- CNN
|   |-- RNN
|   |-- LSTM
|   |-- GRU
|   |-- Transformers
|   |-- Attention Mechanisms
|
|-- Natural Language Processing
|   |-- Text Preprocessing
|   |-- Embeddings
|   |-- Sequence Models
|   |-- Large Language Models
|   |-- Prompting Techniques
|
|-- Computer Vision
|   |-- Image Processing
|   |-- Object Detection
|   |-- Segmentation
|   |-- Vision Transformers
|
|-- Reinforcement Learning
|   |-- Markov Decision Processes
|   |-- Q Learning
|   |-- Deep Q Networks
|   |-- Policy Gradient Methods
|
|-- AI Tools and Frameworks
|   |-- TensorFlow
|   |-- PyTorch
|   |-- Keras
|   |-- Scikit Learn
|
|-- AI Engineering
|   |-- Model Serving
|   |-- Optimization
|   |-- Quantization
|   |-- ONNX
|
|-- MLOps
|   |-- Model Lifecycle
|   |-- Versioning
|   |-- Monitoring
|   |-- Pipelines
|
|-- Robotics Basics
|   |-- Motion Planning
|   |-- Control Systems
|
|-- Ethics
|   |-- Fairness
|   |-- Bias
|   |-- Privacy
|   |-- Responsible AI

Free Resources to learn Artificial Intelligence 👇👇

Python
• https://t.me/pythondevelopersindia
• https://realpython.com
• https://numpy.org/doc
• https://whatsapp.com/channel/0029VbC0Xa411ulRe5pNJK3E

Math for AI
• https://www.khanacademy.org/math
• https://www.3blue1brown.com
• https://statquest.org

Machine Learning
• https://whatsapp.com/channel/0029VawtYcJ1iUxcMQoEuP0O
• https://scikit-learn.org/stable/tutorial
• https://t.me/datalemur
• https://course.fast.ai
• https://www.freecodecamp.org/learn/machine-learning-with-python

Deep Learning
• https://whatsapp.com/channel/0029VbAKiI1FSAt81kV3lA0t
• https://www.deeplearning.ai
• https://pytorch.org/tutorials
• https://www.tensorflow.org/tutorials

NLP
• https://huggingface.co/learn/nlp-course
• https://developers.google.com/machine-learning/guides/text-classification

Computer Vision
• https://www.pyimagesearch.com
• https://opencv.org

Reinforcement Learning
• https://spinningup.openai.com
• https://gymnasium.farama.org

AI Ethics
• https://ai.google/responsibility
• https://www.microsoft.com/ai/responsible-ai

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ENJOY LEARNING 👍👍